Software Development Engineer in Test
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Role details
Tech stack
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Job description
The Software Development Engineer in Test (SDET) will review functional requirements, user stories and test assets from internal stakeholders; build automated test cases, contribute to our test pipelines, and support the maintenance of the test assets as we deliver our releases to our growing client base.
Responsibilities
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Apply expertise in specific product areas to ensure that the product suite meets documented acceptance criteria and client quality expectations
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Contribute to the expansion of our automated testing capabilities and coverage
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Explore and implement AI-assisted testing strategies to enable, enhance, and augment QE team workflows and processes through skill development and agentic workflows
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Evaluate and champion AI/ML tooling (e.g. test generation, defect prediction, intelligent test selection) to improve team velocity and quality coverage
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Instill QA best practices on your scrum team by collaborating on test coverage
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Ability to write tests from abstract requirements
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Provide feedback on product performance and user experience
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Participate in all aspects of the Agile SDLC; providing constructive feedback during grooming, retrospectives, and planning sessions
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Configure and verify continuous build plans in Jenkins and SonarQube to ensure quality of code changes
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Contribute to the review of product documentation/release notes
Requirements
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7+ years of Software Quality Assurance experience, ideally with a focus in Financial Technology or related domain
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Experience working in a successful Agile environment using Agile SDLC tools such as Jira, Bitbucket, and Jenkins
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Foundational understanding of Git and GitHub, including pull requests, branching strategies, and code review workflows
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Experience with GitHub Actions for CI/CD pipeline automation and test workflow orchestration
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Coded UI Automation experience with Selenium WebDriver; Python and Pytest required
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Working knowledge of a scripting language; Groovy and Ruby on Rails a plus
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Experience with web service and API testing (Postman or equivalent)
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Performance testing experience; JMeter or Locust.io a plus
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SQL experience (MSSQL, Postgres)
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Experience with containerized environments and deployment tooling (Docker, Gradle)
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Familiarity with AI-assisted development and testing tools (e.g. Claude Code, AI-driven test generation, or LLM-based QA tooling)
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Demonstrated ability to operate on a small team in a fast-paced environment with the ability to change directions as priorities shift
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Positive attitude with a strong desire to learn, grow professionally, and have a positive impact on the company, its culture, and its products
Desired Skills
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Familiarity with code quality and static analysis tools such as SonarQube
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Experience with monitoring and observability tooling, including APM, log collection/analysis, InfluxDB, and Grafana
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Understanding of the deployment and maintenance of an N-Tier application in either manual or automated fashion
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Familiarity with testing in Spring frameworks
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Integration testing: inbound file processing, outbound file creation, API testing, configuration testing
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Experience with Financial technologies such as FIX, IDC, Reuters, Morningstar, or Bloomberg
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Ability to troubleshoot, diagnose, resolve, and explain system-level issues affecting the application
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Ability to work across teams and disciplines to find equitable solutions to problems that arise
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Experience applying AI/ML techniques to quality engineering challenges such as flaky test detection, risk-based test prioritization, or automated root cause analysis
Education
BS degree in Finance, Computer Science, or equivalent work experience. MSCS is a plus.
Benefits & conditions
3.83.8 out of 5 stars Boston, MA Hybrid work $95,000 - $120,000 a year
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